Triple
T33828340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I'm On My Way |
E867020
|
entity |
| Predicate | isFrequentlyCategorizedAs |
P46711
|
FINISHED |
| Object | feel-good song |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: feel-good song | Statement: [I'm On My Way, isFrequentlyCategorizedAs, feel-good song]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isFrequentlyCategorizedAs Context triple: [I'm On My Way, isFrequentlyCategorizedAs, feel-good song]
-
A.
isFrequentAmong
Indicates that something occurs with relatively high frequency within a specified group or set.
-
B.
isFrequentlyIncludedIn
chosen
Indicates that something is regularly or commonly contained or made part of something else.
-
C.
isFrequently
Indicates that an action, state, or relationship occurs often or with high regularity between the related entities.
-
D.
isFrequentlyReferencedAs
Indicates that one entity is commonly or repeatedly mentioned, cited, or referred to by another entity or within a particular context.
-
E.
hasFrequencyCategory
Indicates that something is associated with a particular classification of how often it occurs or is used.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f34991dd248190a659541588506b3c |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7001e32208190978b7195d0b5042e |
completed | May 3, 2026, 7:58 a.m. |
| PD | Predicate disambiguation | batch_69f6fc59518081908b0275f47721d561 |
completed | May 3, 2026, 7:42 a.m. |
Created at: May 1, 2026, 1:46 a.m.